GigaSpaces eRAG embeds watsonx.ai delivered as an end-to-end SaaS solution.
Many organizations are struggling to implement GenAI in a way that offers tangible business value. One reason is trust and accuracy.
Most LLMs that have been trained on publicly available information offer reasonable levels of accuracy on generic topics. But when these LLMs query your own proprietary enterprise databases, their level of accuracy plunges.
eRAG bridges this gap with an innovative approach, built on GigaSpaces’ expertise in managing complex structured datasets. eRAG’s powerful semantic reasoning engine helps LLMs understand the meaning of operational data and provides the relevant context needed for accurate responses.
Designed specifically for structured enterprise data, eRAG complements LLMs, allowing non-technical users to simply and easily converse with multiple relational databases in natural language and get the info they need to get everyday tasks done quickly.
GigaSpaces has partnered closely with IBM to offer watsonx.ai embedded in eRAG delivered as an end-to-end SaaS solution. This means eRAG customers get access to a range of foundation models for optimized accuracy, while benefiting from lower costs and minimal integration efforts with external LLMs.
Additionally, to ensure GenAI interactions with enterprise databases are safe, GigaSpaces has partnered with IBM watsonx.governance and Amazon SageMaker. eRAG offers real-time risk monitoring and mitigation, focusing on high-risk scenarios that can arise when customers interact with proprietary enterprise data.
eRAG continuously monitors interactions with LLMs to ensure compliance with regulations and organizational policies. Real-time evaluation of inputs and outputs allows for early detection of governance issues, reducing risk before the interaction reaches the LLM. Additionally, eRAG’s customizable AI risk agents enable organizations to tailor risk detection to specific corporate policies or scenarios.
